REPLICATION INFORMATION

These replication files allow one to replicate the tables, figures, and results reported in Berliner et al.'s
	"The Political Logic of Government Disclosure: Evidence from Information Requests in Mexico," 
	as well as those reported in its Supplemental Appendix.

These replication files include two primary zipped folders:

1. A "Model Replication Files" folder, which contains the primary dataset used in all statistical analyses (final_data_for_replication.csv),
	along with an R-script, titled "JOP_replication_final.R", which produces (a) Figures 1-2 from the main paper (which are also included as PDFs)
	followed by (b) all statistical models reported in the main paper and Supplemental Appendix. These estimation models include Tables 3-6 of the main
	paper and Tables A.1-A.26 of the Supplemental Appendix. Note that the request ID's included in "final_data_for_replication.csv" match the FOLIO ID's
	used in the Infomex system, other than the year 2004, which did not have FOLIO IDs in Infomex’s public data. For the latter year, the FOLIO ID's correspond to the
	row number found in the original Infomex CSV file.

2. A "LDA Replication Files" folder, which contains the necessary R-code and inputs for replicating all Latent Dirichlet Allocation (LDA) topic model output reported
	in the Supplemental Appendix. This includes two additional subfolders. The first subfolder corresponds to the model fit statistics
	reported in Figure A.1 (which includes the script for producing this figure, "Figure A.1.R" and its needed input, "perplex 1.csv", as well as
	the resultant figure ("Perplex.pdf"). The second subfolder corresponds to the code needed to produce the topword tables (Figures A.2-A.5)
	that were reported in the Supplemental Appendix, included the necessary inputs ("fulltopwords20.csv" and "frexfulltopwords20.csv"),
	corresponding R-script ("Figures A.2-A.5.R"), and resultant Figures (PDFs).

Necessary R packages needed for replication: data.table, lubridate, MASS, lfe, lmtest, and texreg. 

Please contact Daniel Berliner at d.berliner@lse.ac.uk or Benjamin E. Bagozzi at bagozzib@udel.edu for any questions about these files or data.